Overview

Brought to you by YData

Dataset statistics

Number of variables23
Number of observations1615940
Missing cells5478
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory283.6 MiB
Average record size in memory184.0 B

Variable types

Numeric4
Categorical6
Text12
DateTime1

Alerts

Job Id has unique valuesUnique

Reproduction

Analysis started2025-11-17 13:30:12.218721
Analysis finished2025-11-17 13:31:38.596219
Duration1 minute and 26.38 seconds
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

Job Id
Real number (ℝ)

Unique 

Distinct1615940
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5489354 × 1015
Minimum1.8179476 × 1011
Maximum3.0996182 × 1015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 MiB
2025-11-17T15:31:38.708218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.8179476 × 1011
5-th percentile1.5485685 × 1014
Q17.7405085 × 1014
median1.5478577 × 1015
Q32.3237294 × 1015
95-th percentile2.9442184 × 1015
Maximum3.0996182 × 1015
Range3.0994364 × 1015
Interquartile range (IQR)1.5496785 × 1015

Descriptive statistics

Standard deviation8.9467218 × 1014
Coefficient of variation (CV)0.57760458
Kurtosis-1.1997778
Mean1.5489354 × 1015
Median Absolute Deviation (MAD)7.7483987 × 1014
Skewness0.0020721709
Sum-5.7705255 × 1018
Variance8.004383 × 1029
MonotonicityNot monotonic
2025-11-17T15:31:38.870719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.046457553 × 10141
 
< 0.1%
1.08984354 × 10151
 
< 0.1%
3.984540966 × 10141
 
< 0.1%
4.81640073 × 10141
 
< 0.1%
1.236047618 × 10151
 
< 0.1%
2.479976002 × 10151
 
< 0.1%
2.733548928 × 10151
 
< 0.1%
9.338799229 × 10131
 
< 0.1%
9.74105433 × 10141
 
< 0.1%
1.628762025 × 10151
 
< 0.1%
Other values (1615930)1615930
> 99.9%
ValueCountFrequency (%)
1.817947583 × 10111
< 0.1%
1.825401344 × 10111
< 0.1%
1.844371897 × 10111
< 0.1%
1.862246115 × 10111
< 0.1%
1.875842654 × 10111
< 0.1%
1.913716459 × 10111
< 0.1%
1.91492727 × 10111
< 0.1%
1.951391565 × 10111
< 0.1%
1.981315076 × 10111
< 0.1%
1.98194509 × 10111
< 0.1%
ValueCountFrequency (%)
3.099618227 × 10151
< 0.1%
3.099616893 × 10151
< 0.1%
3.099614222 × 10151
< 0.1%
3.099611084 × 10151
< 0.1%
3.099608424 × 10151
< 0.1%
3.099605566 × 10151
< 0.1%
3.099605099 × 10151
< 0.1%
3.099603677 × 10151
< 0.1%
3.09960213 × 10151
< 0.1%
3.099601288 × 10151
< 0.1%

Experience
Categorical

Distinct48
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
5 to 8 Years
 
34120
5 to 12 Years
 
34056
5 to 9 Years
 
34020
3 to 13 Years
 
33915
3 to 15 Years
 
33878
Other values (43)
1445951 

Length

Max length13
Median length13
Mean length12.749371
Min length12

Characters and Unicode

Total characters20602219
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5 to 15 Years
2nd row2 to 12 Years
3rd row0 to 12 Years
4th row4 to 11 Years
5th row1 to 12 Years

Common Values

ValueCountFrequency (%)
5 to 8 Years34120
 
2.1%
5 to 12 Years34056
 
2.1%
5 to 9 Years34020
 
2.1%
3 to 13 Years33915
 
2.1%
3 to 15 Years33878
 
2.1%
2 to 9 Years33862
 
2.1%
3 to 8 Years33854
 
2.1%
1 to 11 Years33820
 
2.1%
3 to 12 Years33805
 
2.1%
1 to 10 Years33793
 
2.1%
Other values (38)1276817
79.0%

Length

2025-11-17T15:31:39.008720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
to1615940
25.0%
years1615940
25.0%
5269965
 
4.2%
3269767
 
4.2%
1269681
 
4.2%
4269083
 
4.2%
2268816
 
4.2%
0268628
 
4.2%
8202680
 
3.1%
12202336
 
3.1%
Other values (6)1210924
18.7%

Most occurring characters

ValueCountFrequency (%)
4847820
23.5%
11682696
 
8.2%
o1615940
 
7.8%
t1615940
 
7.8%
a1615940
 
7.8%
e1615940
 
7.8%
r1615940
 
7.8%
Y1615940
 
7.8%
s1615940
 
7.8%
5471816
 
2.3%
Other values (6)2288307
11.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)20602219
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4847820
23.5%
11682696
 
8.2%
o1615940
 
7.8%
t1615940
 
7.8%
a1615940
 
7.8%
e1615940
 
7.8%
r1615940
 
7.8%
Y1615940
 
7.8%
s1615940
 
7.8%
5471816
 
2.3%
Other values (6)2288307
11.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)20602219
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4847820
23.5%
11682696
 
8.2%
o1615940
 
7.8%
t1615940
 
7.8%
a1615940
 
7.8%
e1615940
 
7.8%
r1615940
 
7.8%
Y1615940
 
7.8%
s1615940
 
7.8%
5471816
 
2.3%
Other values (6)2288307
11.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)20602219
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4847820
23.5%
11682696
 
8.2%
o1615940
 
7.8%
t1615940
 
7.8%
a1615940
 
7.8%
e1615940
 
7.8%
r1615940
 
7.8%
Y1615940
 
7.8%
s1615940
 
7.8%
5471816
 
2.3%
Other values (6)2288307
11.1%

Qualifications
Categorical

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
BBA
162148 
BA
162138 
BCA
161733 
M.Tech
161719 
PhD
161662 
Other values (5)
806540 

Length

Max length6
Median length5
Mean length3.8990037
Min length2

Characters and Unicode

Total characters6300556
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM.Tech
2nd rowBCA
3rd rowPhD
4th rowPhD
5th rowMBA

Common Values

ValueCountFrequency (%)
BBA162148
10.0%
BA162138
10.0%
BCA161733
10.0%
M.Tech161719
10.0%
PhD161662
10.0%
MBA161537
10.0%
B.Tech161443
10.0%
M.Com161396
10.0%
B.Com161298
10.0%
MCA160866
10.0%

Length

2025-11-17T15:31:39.118718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-11-17T15:31:39.253220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
bba162148
10.0%
ba162138
10.0%
bca161733
10.0%
m.tech161719
10.0%
phd161662
10.0%
mba161537
10.0%
b.tech161443
10.0%
m.com161396
10.0%
b.com161298
10.0%
mca160866
10.0%

Most occurring characters

ValueCountFrequency (%)
B1132445
18.0%
A808422
12.8%
.645856
10.3%
M645518
10.2%
C645293
10.2%
h484824
7.7%
T323162
 
5.1%
e323162
 
5.1%
c323162
 
5.1%
m322694
 
5.1%
Other values (3)646018
10.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)6300556
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
B1132445
18.0%
A808422
12.8%
.645856
10.3%
M645518
10.2%
C645293
10.2%
h484824
7.7%
T323162
 
5.1%
e323162
 
5.1%
c323162
 
5.1%
m322694
 
5.1%
Other values (3)646018
10.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)6300556
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
B1132445
18.0%
A808422
12.8%
.645856
10.3%
M645518
10.2%
C645293
10.2%
h484824
7.7%
T323162
 
5.1%
e323162
 
5.1%
c323162
 
5.1%
m322694
 
5.1%
Other values (3)646018
10.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)6300556
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
B1132445
18.0%
A808422
12.8%
.645856
10.3%
M645518
10.2%
C645293
10.2%
h484824
7.7%
T323162
 
5.1%
e323162
 
5.1%
c323162
 
5.1%
m322694
 
5.1%
Other values (3)646018
10.3%
Distinct561
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
2025-11-17T15:31:39.671219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.6071475
Min length9

Characters and Unicode

Total characters15524574
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row$59K-$99K
2nd row$56K-$116K
3rd row$61K-$104K
4th row$65K-$91K
5th row$64K-$87K
ValueCountFrequency (%)
59k-$88k3043
 
0.2%
58k-$101k3038
 
0.2%
62k-$82k3033
 
0.2%
61k-$106k3025
 
0.2%
61k-$112k3015
 
0.2%
64k-$83k3003
 
0.2%
64k-$120k3003
 
0.2%
62k-$107k3003
 
0.2%
62k-$84k3000
 
0.2%
65k-$125k2996
 
0.2%
Other values (551)1585781
98.1%
2025-11-17T15:31:40.169719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
$3231880
20.8%
K3231880
20.8%
-1615940
10.4%
11602567
10.3%
51187360
 
7.6%
61186778
 
7.6%
0654486
 
4.2%
9623755
 
4.0%
8621715
 
4.0%
2621529
 
4.0%
Other values (3)946684
 
6.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)15524574
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
$3231880
20.8%
K3231880
20.8%
-1615940
10.4%
11602567
10.3%
51187360
 
7.6%
61186778
 
7.6%
0654486
 
4.2%
9623755
 
4.0%
8621715
 
4.0%
2621529
 
4.0%
Other values (3)946684
 
6.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)15524574
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
$3231880
20.8%
K3231880
20.8%
-1615940
10.4%
11602567
10.3%
51187360
 
7.6%
61186778
 
7.6%
0654486
 
4.2%
9623755
 
4.0%
8621715
 
4.0%
2621529
 
4.0%
Other values (3)946684
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)15524574
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
$3231880
20.8%
K3231880
20.8%
-1615940
10.4%
11602567
10.3%
51187360
 
7.6%
61186778
 
7.6%
0654486
 
4.2%
9623755
 
4.0%
8621715
 
4.0%
2621529
 
4.0%
Other values (3)946684
 
6.1%
Distinct214
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
2025-11-17T15:31:40.498220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length25
Median length18
Mean length8.3293291
Min length4

Characters and Unicode

Total characters13459696
Distinct characters63
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDouglas
2nd rowAshgabat
3rd rowMacao
4th rowPorto-Novo
5th rowSantiago
ValueCountFrequency (%)
city67444
 
3.3%
of37434
 
1.8%
san30123
 
1.5%
port29807
 
1.5%
de22514
 
1.1%
town22386
 
1.1%
seoul15104
 
0.7%
apia15057
 
0.7%
jure14931
 
0.7%
victoria14905
 
0.7%
Other values (236)1771503
86.8%
2025-11-17T15:31:40.932718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a1871472
 
13.9%
i979550
 
7.3%
o957788
 
7.1%
n822698
 
6.1%
e791985
 
5.9%
r755184
 
5.6%
t598938
 
4.4%
u582759
 
4.3%
s522849
 
3.9%
l477956
 
3.6%
Other values (53)5098517
37.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)13459696
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a1871472
 
13.9%
i979550
 
7.3%
o957788
 
7.1%
n822698
 
6.1%
e791985
 
5.9%
r755184
 
5.6%
t598938
 
4.4%
u582759
 
4.3%
s522849
 
3.9%
l477956
 
3.6%
Other values (53)5098517
37.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)13459696
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a1871472
 
13.9%
i979550
 
7.3%
o957788
 
7.1%
n822698
 
6.1%
e791985
 
5.9%
r755184
 
5.6%
t598938
 
4.4%
u582759
 
4.3%
s522849
 
3.9%
l477956
 
3.6%
Other values (53)5098517
37.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)13459696
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a1871472
 
13.9%
i979550
 
7.3%
o957788
 
7.1%
n822698
 
6.1%
e791985
 
5.9%
r755184
 
5.6%
t598938
 
4.4%
u582759
 
4.3%
s522849
 
3.9%
l477956
 
3.6%
Other values (53)5098517
37.9%

Country
Text

Distinct216
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
2025-11-17T15:31:41.278720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length30
Median length24
Mean length9.262433
Min length2

Characters and Unicode

Total characters14967536
Distinct characters58
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIsle of Man
2nd rowTurkmenistan
3rd rowMacao SAR, China
4th rowBenin
5th rowChile
ValueCountFrequency (%)
and59913
 
2.6%
republic59874
 
2.6%
islands59726
 
2.6%
st29932
 
1.3%
of22552
 
1.0%
guinea22489
 
1.0%
china22391
 
1.0%
new22197
 
1.0%
korea15104
 
0.7%
french15091
 
0.7%
Other values (251)1945263
85.5%
2025-11-17T15:31:41.856719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a2154216
 
14.4%
i1189918
 
7.9%
n1144289
 
7.6%
e965534
 
6.5%
r838507
 
5.6%
o762989
 
5.1%
658592
 
4.4%
u561370
 
3.8%
l538698
 
3.6%
t508820
 
3.4%
Other values (48)5644603
37.7%

Most occurring categories

ValueCountFrequency (%)
(unknown)14967536
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a2154216
 
14.4%
i1189918
 
7.9%
n1144289
 
7.6%
e965534
 
6.5%
r838507
 
5.6%
o762989
 
5.1%
658592
 
4.4%
u561370
 
3.8%
l538698
 
3.6%
t508820
 
3.4%
Other values (48)5644603
37.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown)14967536
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a2154216
 
14.4%
i1189918
 
7.9%
n1144289
 
7.6%
e965534
 
6.5%
r838507
 
5.6%
o762989
 
5.1%
658592
 
4.4%
u561370
 
3.8%
l538698
 
3.6%
t508820
 
3.4%
Other values (48)5644603
37.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown)14967536
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a2154216
 
14.4%
i1189918
 
7.9%
n1144289
 
7.6%
e965534
 
6.5%
r838507
 
5.6%
o762989
 
5.1%
658592
 
4.4%
u561370
 
3.8%
l538698
 
3.6%
t508820
 
3.4%
Other values (48)5644603
37.7%

latitude
Real number (ℝ)

Distinct216
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.377431
Minimum-40.9006
Maximum71.7069
Zeros0
Zeros (%)0.0%
Negative329160
Negative (%)20.4%
Memory size12.3 MiB
2025-11-17T15:31:41.954720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-40.9006
5-th percentile-21.1789
Q15.1521
median18.0708
Q339.0742
95-th percentile56.1304
Maximum71.7069
Range112.6075
Interquartile range (IQR)33.9221

Descriptive statistics

Standard deviation23.556904
Coefficient of variation (CV)1.2156876
Kurtosis-0.5222126
Mean19.377431
Median Absolute Deviation (MAD)17.837
Skewness-0.20294935
Sum31312766
Variance554.92772
MonotonicityNot monotonic
2025-11-17T15:31:42.076719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.93757723
 
0.5%
6.42387694
 
0.5%
5.15217689
 
0.5%
8.46067656
 
0.5%
7.87317649
 
0.5%
14.05837649
 
0.5%
40.14317643
 
0.5%
43.94247638
 
0.5%
38.96977633
 
0.5%
-1.94037630
 
0.5%
Other values (206)1539336
95.3%
ValueCountFrequency (%)
-40.90067407
0.5%
-38.41617520
0.5%
-35.67517429
0.5%
-32.52287538
0.5%
-30.55957465
0.5%
-29.60997551
0.5%
-25.27447504
0.5%
-23.4425037535
0.5%
-22.95767467
0.5%
-22.32857454
0.5%
ValueCountFrequency (%)
71.70697478
0.5%
64.96317292
0.5%
61.92417409
0.5%
61.89267549
0.5%
61.5247507
0.5%
60.4727466
0.5%
60.12827626
0.5%
58.59537526
0.5%
56.87967538
0.5%
56.26397424
0.5%

longitude
Real number (ℝ)

Distinct216
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.399259
Minimum-175.1982
Maximum178.065
Zeros0
Zeros (%)0.0%
Negative539233
Negative (%)33.4%
Memory size12.3 MiB
2025-11-17T15:31:42.196221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-175.1982
5-th percentile-88.4976
Q1-15.3101
median19.1451
Q347.5769
95-th percentile144.7937
Maximum178.065
Range353.2632
Interquartile range (IQR)62.887

Descriptive statistics

Standard deviation70.667622
Coefficient of variation (CV)4.3091961
Kurtosis0.12287429
Mean16.399259
Median Absolute Deviation (MAD)31.4126
Skewness-0.032941493
Sum26500218
Variance4993.9129
MonotonicityNot monotonic
2025-11-17T15:31:42.319718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.37547723
 
0.5%
-66.58977694
 
0.5%
46.19967689
 
0.5%
-11.77997656
 
0.5%
80.77187649
 
0.5%
108.27727649
 
0.5%
47.57697643
 
0.5%
12.45787638
 
0.5%
59.55637633
 
0.5%
29.87397630
 
0.5%
Other values (206)1539336
95.3%
ValueCountFrequency (%)
-175.19827376
0.5%
-172.10467493
0.5%
-170.13227564
0.5%
-168.7347604
0.5%
-149.40687500
0.5%
-106.34687357
0.5%
-102.55287617
0.5%
-95.71297431
0.5%
-90.23087494
0.5%
-88.89657582
0.5%
ValueCountFrequency (%)
178.0657612
0.5%
177.64937450
0.5%
174.8867407
0.5%
171.18457485
0.5%
166.95927456
0.5%
166.93157583
0.5%
165.6187367
0.5%
160.15627528
0.5%
150.55087405
0.5%
145.67397340
0.5%

Work Type
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
Part-Time
324044 
Temporary
323439 
Contract
323131 
Intern
323090 
Full-Time
322236 

Length

Max length9
Median length9
Mean length8.2002172
Min length6

Characters and Unicode

Total characters13251059
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIntern
2nd rowIntern
3rd rowTemporary
4th rowFull-Time
5th rowIntern

Common Values

ValueCountFrequency (%)
Part-Time324044
20.1%
Temporary323439
20.0%
Contract323131
20.0%
Intern323090
20.0%
Full-Time322236
19.9%

Length

2025-11-17T15:31:42.438718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-11-17T15:31:42.514219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
part-time324044
20.1%
temporary323439
20.0%
contract323131
20.0%
intern323090
20.0%
full-time322236
19.9%

Most occurring characters

ValueCountFrequency (%)
r1617143
12.2%
t1293396
9.8%
e1292809
9.8%
a970614
 
7.3%
m969719
 
7.3%
T969719
 
7.3%
n969311
 
7.3%
o646570
 
4.9%
i646280
 
4.9%
-646280
 
4.9%
Other values (9)3229218
24.4%

Most occurring categories

ValueCountFrequency (%)
(unknown)13251059
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
r1617143
12.2%
t1293396
9.8%
e1292809
9.8%
a970614
 
7.3%
m969719
 
7.3%
T969719
 
7.3%
n969311
 
7.3%
o646570
 
4.9%
i646280
 
4.9%
-646280
 
4.9%
Other values (9)3229218
24.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown)13251059
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
r1617143
12.2%
t1293396
9.8%
e1292809
9.8%
a970614
 
7.3%
m969719
 
7.3%
T969719
 
7.3%
n969311
 
7.3%
o646570
 
4.9%
i646280
 
4.9%
-646280
 
4.9%
Other values (9)3229218
24.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown)13251059
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
r1617143
12.2%
t1293396
9.8%
e1292809
9.8%
a970614
 
7.3%
m969719
 
7.3%
T969719
 
7.3%
n969311
 
7.3%
o646570
 
4.9%
i646280
 
4.9%
-646280
 
4.9%
Other values (9)3229218
24.4%

Company Size
Real number (ℝ)

Distinct122188
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73704.672
Minimum12646
Maximum134834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 MiB
2025-11-17T15:31:42.633719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum12646
5-th percentile18728
Q143114
median73633
Q3104300
95-th percentile128747
Maximum134834
Range122188
Interquartile range (IQR)61186

Descriptive statistics

Standard deviation35298.864
Coefficient of variation (CV)0.47892302
Kurtosis-1.2013098
Mean73704.672
Median Absolute Deviation (MAD)30592
Skewness0.0021415459
Sum1.1910233 × 1011
Variance1.2460098 × 109
MonotonicityNot monotonic
2025-11-17T15:31:42.761719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8354131
 
< 0.1%
10001330
 
< 0.1%
1583830
 
< 0.1%
5899830
 
< 0.1%
2860129
 
< 0.1%
9053329
 
< 0.1%
11314829
 
< 0.1%
12523429
 
< 0.1%
7186029
 
< 0.1%
9513229
 
< 0.1%
Other values (122178)1615645
> 99.9%
ValueCountFrequency (%)
1264611
< 0.1%
1264712
< 0.1%
126489
< 0.1%
1264912
< 0.1%
1265022
< 0.1%
1265116
< 0.1%
126528
 
< 0.1%
1265310
< 0.1%
1265419
< 0.1%
1265513
< 0.1%
ValueCountFrequency (%)
13483414
< 0.1%
13483318
< 0.1%
13483216
< 0.1%
1348319
< 0.1%
13483013
< 0.1%
13482911
< 0.1%
13482816
< 0.1%
13482715
< 0.1%
13482611
< 0.1%
13482512
< 0.1%
Distinct731
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
Minimum2021-09-15 00:00:00
Maximum2023-09-15 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-11-17T15:31:42.879219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:42.999720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Preference
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
Male
539167 
Both
538437 
Female
538336 

Length

Max length6
Median length4
Mean length4.6662822
Min length4

Characters and Unicode

Total characters7540432
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFemale
2nd rowFemale
3rd rowMale
4th rowFemale
5th rowFemale

Common Values

ValueCountFrequency (%)
Male539167
33.4%
Both538437
33.3%
Female538336
33.3%

Length

2025-11-17T15:31:43.116219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-11-17T15:31:43.182219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
male539167
33.4%
both538437
33.3%
female538336
33.3%

Most occurring characters

ValueCountFrequency (%)
e1615839
21.4%
a1077503
14.3%
l1077503
14.3%
M539167
 
7.2%
B538437
 
7.1%
o538437
 
7.1%
t538437
 
7.1%
h538437
 
7.1%
F538336
 
7.1%
m538336
 
7.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)7540432
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e1615839
21.4%
a1077503
14.3%
l1077503
14.3%
M539167
 
7.2%
B538437
 
7.1%
o538437
 
7.1%
t538437
 
7.1%
h538437
 
7.1%
F538336
 
7.1%
m538336
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)7540432
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e1615839
21.4%
a1077503
14.3%
l1077503
14.3%
M539167
 
7.2%
B538437
 
7.1%
o538437
 
7.1%
t538437
 
7.1%
h538437
 
7.1%
F538336
 
7.1%
m538336
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)7540432
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e1615839
21.4%
a1077503
14.3%
l1077503
14.3%
M539167
 
7.2%
B538437
 
7.1%
o538437
 
7.1%
t538437
 
7.1%
h538437
 
7.1%
F538336
 
7.1%
m538336
 
7.1%
Distinct367128
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
2025-11-17T15:31:43.485219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length23
Median length21
Mean length13.104749
Min length6

Characters and Unicode

Total characters21176488
Distinct characters53
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149513 ?
Unique (%)9.3%

Sample

1st rowBrandon Cunningham
2nd rowFrancisco Larsen
3rd rowGary Gibson
4th rowJoy Lucero
5th rowJulie Johnson
ValueCountFrequency (%)
michael37922
 
1.2%
smith35177
 
1.1%
johnson27662
 
0.9%
james27363
 
0.8%
david25734
 
0.8%
jennifer23804
 
0.7%
john23386
 
0.7%
christopher22538
 
0.7%
williams22492
 
0.7%
thomas22043
 
0.7%
Other values (1574)2963759
91.7%
2025-11-17T15:31:43.914221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e1994615
 
9.4%
a1982034
 
9.4%
1615940
 
7.6%
n1611037
 
7.6%
r1506435
 
7.1%
i1300000
 
6.1%
o1155207
 
5.5%
l1088365
 
5.1%
s956407
 
4.5%
t747927
 
3.5%
Other values (43)7218521
34.1%

Most occurring categories

ValueCountFrequency (%)
(unknown)21176488
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e1994615
 
9.4%
a1982034
 
9.4%
1615940
 
7.6%
n1611037
 
7.6%
r1506435
 
7.1%
i1300000
 
6.1%
o1155207
 
5.5%
l1088365
 
5.1%
s956407
 
4.5%
t747927
 
3.5%
Other values (43)7218521
34.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown)21176488
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e1994615
 
9.4%
a1982034
 
9.4%
1615940
 
7.6%
n1611037
 
7.6%
r1506435
 
7.1%
i1300000
 
6.1%
o1155207
 
5.5%
l1088365
 
5.1%
s956407
 
4.5%
t747927
 
3.5%
Other values (43)7218521
34.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown)21176488
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e1994615
 
9.4%
a1982034
 
9.4%
1615940
 
7.6%
n1611037
 
7.6%
r1506435
 
7.1%
i1300000
 
6.1%
o1155207
 
5.5%
l1088365
 
5.1%
s956407
 
4.5%
t747927
 
3.5%
Other values (43)7218521
34.1%

Contact
Text

Distinct1615933
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
2025-11-17T15:31:45.092719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length22
Median length19
Mean length16.164379
Min length10

Characters and Unicode

Total characters26120666
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1615926 ?
Unique (%)> 99.9%

Sample

1st row001-381-930-7517x737
2nd row461-509-4216
3rd row9687619505
4th row+1-820-643-5431x47576
5th row343.975.4702x9340
ValueCountFrequency (%)
647-535-80362
 
< 0.1%
001-419-768-66252
 
< 0.1%
518.951.81032
 
< 0.1%
841.595.25562
 
< 0.1%
1-507-963-59202
 
< 0.1%
832-310-60072
 
< 0.1%
246-271-73232
 
< 0.1%
667.202.6824x158931
 
< 0.1%
39545750061
 
< 0.1%
461-509-42161
 
< 0.1%
Other values (1615923)1615923
> 99.9%
2025-11-17T15:31:46.418721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
-2521495
9.7%
12200552
8.4%
02196533
8.4%
52086403
8.0%
22086096
8.0%
42085418
8.0%
72085253
8.0%
92084846
8.0%
62084636
8.0%
82084117
8.0%
Other values (6)4605317
17.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)26120666
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
-2521495
9.7%
12200552
8.4%
02196533
8.4%
52086403
8.0%
22086096
8.0%
42085418
8.0%
72085253
8.0%
92084846
8.0%
62084636
8.0%
82084117
8.0%
Other values (6)4605317
17.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)26120666
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
-2521495
9.7%
12200552
8.4%
02196533
8.4%
52086403
8.0%
22086096
8.0%
42085418
8.0%
72085253
8.0%
92084846
8.0%
62084636
8.0%
82084117
8.0%
Other values (6)4605317
17.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)26120666
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
-2521495
9.7%
12200552
8.4%
02196533
8.4%
52086403
8.0%
22086096
8.0%
42085418
8.0%
72085253
8.0%
92084846
8.0%
62084636
8.0%
82084117
8.0%
Other values (6)4605317
17.6%
Distinct147
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
2025-11-17T15:31:46.951219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length35
Median length25
Mean length17.348839
Min length7

Characters and Unicode

Total characters28034683
Distinct characters51
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDigital Marketing Specialist
2nd rowWeb Developer
3rd rowOperations Manager
4th rowNetwork Engineer
5th rowEvent Manager
ValueCountFrequency (%)
manager235995
 
7.0%
engineer162785
 
4.8%
analyst145839
 
4.3%
specialist135642
 
4.0%
designer117729
 
3.5%
marketing97657
 
2.9%
assistant66413
 
2.0%
coordinator65673
 
1.9%
network62953
 
1.9%
developer62738
 
1.9%
Other values (122)2235131
66.0%
2025-11-17T15:31:47.471219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e3099597
 
11.1%
a2406325
 
8.6%
r2209712
 
7.9%
n2166073
 
7.7%
t2104720
 
7.5%
i1984296
 
7.1%
1772615
 
6.3%
s1487861
 
5.3%
c1090543
 
3.9%
o1052049
 
3.8%
Other values (41)8660892
30.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)28034683
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e3099597
 
11.1%
a2406325
 
8.6%
r2209712
 
7.9%
n2166073
 
7.7%
t2104720
 
7.5%
i1984296
 
7.1%
1772615
 
6.3%
s1487861
 
5.3%
c1090543
 
3.9%
o1052049
 
3.8%
Other values (41)8660892
30.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)28034683
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e3099597
 
11.1%
a2406325
 
8.6%
r2209712
 
7.9%
n2166073
 
7.7%
t2104720
 
7.5%
i1984296
 
7.1%
1772615
 
6.3%
s1487861
 
5.3%
c1090543
 
3.9%
o1052049
 
3.8%
Other values (41)8660892
30.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)28034683
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e3099597
 
11.1%
a2406325
 
8.6%
r2209712
 
7.9%
n2166073
 
7.7%
t2104720
 
7.5%
i1984296
 
7.1%
1772615
 
6.3%
s1487861
 
5.3%
c1090543
 
3.9%
o1052049
 
3.8%
Other values (41)8660892
30.9%

Role
Text

Distinct376
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
2025-11-17T15:31:48.195721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length40
Median length30
Mean length20.729957
Min length8

Characters and Unicode

Total characters33498367
Distinct characters56
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSocial Media Manager
2nd rowFrontend Web Developer
3rd rowQuality Control Manager
4th rowWireless Network Engineer
5th rowConference Manager
ValueCountFrequency (%)
manager225744
 
5.6%
analyst173812
 
4.3%
specialist135446
 
3.4%
designer135161
 
3.4%
engineer124873
 
3.1%
developer80010
 
2.0%
coordinator79627
 
2.0%
planner58803
 
1.5%
sales55781
 
1.4%
marketing52538
 
1.3%
Other values (319)2900458
72.1%
2025-11-17T15:31:48.776220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e3595635
 
10.7%
a2698080
 
8.1%
r2620292
 
7.8%
n2561977
 
7.6%
t2560483
 
7.6%
2406313
 
7.2%
i2386002
 
7.1%
s1635624
 
4.9%
o1514793
 
4.5%
l1247600
 
3.7%
Other values (46)10271568
30.7%

Most occurring categories

ValueCountFrequency (%)
(unknown)33498367
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e3595635
 
10.7%
a2698080
 
8.1%
r2620292
 
7.8%
n2561977
 
7.6%
t2560483
 
7.6%
2406313
 
7.2%
i2386002
 
7.1%
s1635624
 
4.9%
o1514793
 
4.5%
l1247600
 
3.7%
Other values (46)10271568
30.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown)33498367
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e3595635
 
10.7%
a2698080
 
8.1%
r2620292
 
7.8%
n2561977
 
7.6%
t2560483
 
7.6%
2406313
 
7.2%
i2386002
 
7.1%
s1635624
 
4.9%
o1514793
 
4.5%
l1247600
 
3.7%
Other values (46)10271568
30.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown)33498367
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e3595635
 
10.7%
a2698080
 
8.1%
r2620292
 
7.8%
n2561977
 
7.6%
t2560483
 
7.6%
2406313
 
7.2%
i2386002
 
7.1%
s1635624
 
4.9%
o1514793
 
4.5%
l1247600
 
3.7%
Other values (46)10271568
30.7%

Job Portal
Categorical

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
FlexJobs
129879 
Stack Overflow Jobs
129379 
Jobs2Careers
129245 
Snagajob
129088 
USAJOBS
129066 
Other values (11)
969283 

Length

Max length19
Median length13
Mean length10.037773
Min length4

Characters and Unicode

Total characters16220439
Distinct characters44
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSnagajob
2nd rowIdealist
3rd rowJobs2Careers
4th rowFlexJobs
5th rowJobs2Careers

Common Values

ValueCountFrequency (%)
FlexJobs129879
 
8.0%
Stack Overflow Jobs129379
 
8.0%
Jobs2Careers129245
 
8.0%
Snagajob129088
 
8.0%
USAJOBS129066
 
8.0%
SimplyHired129059
 
8.0%
The Muse129033
 
8.0%
Idealist128952
 
8.0%
Internships.com128790
 
8.0%
Monster65058
 
4.0%
Other values (6)388391
24.0%

Length

2025-11-17T15:31:48.883720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
flexjobs129879
 
6.5%
stack129379
 
6.5%
overflow129379
 
6.5%
jobs129379
 
6.5%
jobs2careers129245
 
6.5%
snagajob129088
 
6.4%
usajobs129066
 
6.4%
simplyhired129059
 
6.4%
the129033
 
6.4%
muse129033
 
6.4%
Other values (9)711191
35.5%

Most occurring characters

ValueCountFrequency (%)
e1810682
 
11.2%
s1227305
 
7.6%
r1099109
 
6.8%
o969752
 
6.0%
i839813
 
5.2%
a774971
 
4.8%
l646488
 
4.0%
n645830
 
4.0%
S645658
 
4.0%
d581446
 
3.6%
Other values (34)6979385
43.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)16220439
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e1810682
 
11.2%
s1227305
 
7.6%
r1099109
 
6.8%
o969752
 
6.0%
i839813
 
5.2%
a774971
 
4.8%
l646488
 
4.0%
n645830
 
4.0%
S645658
 
4.0%
d581446
 
3.6%
Other values (34)6979385
43.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)16220439
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e1810682
 
11.2%
s1227305
 
7.6%
r1099109
 
6.8%
o969752
 
6.0%
i839813
 
5.2%
a774971
 
4.8%
l646488
 
4.0%
n645830
 
4.0%
S645658
 
4.0%
d581446
 
3.6%
Other values (34)6979385
43.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)16220439
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e1810682
 
11.2%
s1227305
 
7.6%
r1099109
 
6.8%
o969752
 
6.0%
i839813
 
5.2%
a774971
 
4.8%
l646488
 
4.0%
n645830
 
4.0%
S645658
 
4.0%
d581446
 
3.6%
Other values (34)6979385
43.0%
Distinct376
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
2025-11-17T15:31:49.136719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length430
Median length243
Mean length185.36838
Min length81

Characters and Unicode

Total characters299544174
Distinct characters60
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSocial Media Managers oversee an organizations social media presence. They create and schedule content, engage with followers, and analyze social media metrics to drive brand awareness and engagement.
2nd rowFrontend Web Developers design and implement user interfaces for websites, ensuring they are visually appealing and user-friendly. They collaborate with designers and backend developers to create seamless web experiences for users.
3rd rowQuality Control Managers establish and enforce quality standards within an organization. They develop quality control processes, perform inspections, and implement corrective actions to maintain product or service quality.
4th rowWireless Network Engineers design, implement, and maintain wireless network solutions. They optimize wireless connectivity, troubleshoot issues, and ensure reliable and secure wireless communications.
5th rowA Conference Manager coordinates and manages conferences, meetings, and events. They plan logistics, handle budgeting, liaise with vendors, and ensure the smooth execution of events, catering to the needs and expectations of attendees.
ValueCountFrequency (%)
and3572064
 
9.1%
to1241002
 
3.2%
they965836
 
2.5%
a580884
 
1.5%
the524798
 
1.3%
in458694
 
1.2%
with441209
 
1.1%
data350886
 
0.9%
for319452
 
0.8%
ensure315533
 
0.8%
Other values (1486)30289238
77.5%
2025-11-17T15:31:49.649720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37443656
12.5%
e30176690
 
10.1%
n23123724
 
7.7%
a21750765
 
7.3%
i21543065
 
7.2%
s20352068
 
6.8%
t20100218
 
6.7%
r16364251
 
5.5%
o15794710
 
5.3%
c10787150
 
3.6%
Other values (50)82107877
27.4%

Most occurring categories

ValueCountFrequency (%)
(unknown)299544174
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
37443656
12.5%
e30176690
 
10.1%
n23123724
 
7.7%
a21750765
 
7.3%
i21543065
 
7.2%
s20352068
 
6.8%
t20100218
 
6.7%
r16364251
 
5.5%
o15794710
 
5.3%
c10787150
 
3.6%
Other values (50)82107877
27.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown)299544174
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
37443656
12.5%
e30176690
 
10.1%
n23123724
 
7.7%
a21750765
 
7.3%
i21543065
 
7.2%
s20352068
 
6.8%
t20100218
 
6.7%
r16364251
 
5.5%
o15794710
 
5.3%
c10787150
 
3.6%
Other values (50)82107877
27.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown)299544174
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
37443656
12.5%
e30176690
 
10.1%
n23123724
 
7.7%
a21750765
 
7.3%
i21543065
 
7.2%
s20352068
 
6.8%
t20100218
 
6.7%
r16364251
 
5.5%
o15794710
 
5.3%
c10787150
 
3.6%
Other values (50)82107877
27.4%

Benefits
Categorical

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
{'Childcare Assistance, Paid Time Off (PTO), Relocation Assistance, Flexible Work Arrangements, Professional Development'}
161924 
{'Transportation Benefits, Professional Development, Bonuses and Incentive Programs, Profit-Sharing, Employee Discounts'}
161819 
{'Tuition Reimbursement, Stock Options or Equity Grants, Parental Leave, Wellness Programs, Childcare Assistance'}
161681 
{'Legal Assistance, Bonuses and Incentive Programs, Wellness Programs, Employee Discounts, Retirement Plans'}
161577 
{'Casual Dress Code, Social and Recreational Activities, Employee Referral Programs, Health and Wellness Facilities, Life and Disability Insurance'}
161543 
Other values (6)
807396 

Length

Max length150
Median length131
Mean length127.93735
Min length109

Characters and Unicode

Total characters206739088
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row{'Flexible Spending Accounts (FSAs), Relocation Assistance, Legal Assistance, Employee Recognition Programs, Financial Counseling'}
2nd row{'Health Insurance, Retirement Plans, Paid Time Off (PTO), Flexible Work Arrangements, Employee Assistance Programs (EAP)'}
3rd row{'Legal Assistance, Bonuses and Incentive Programs, Wellness Programs, Employee Discounts, Retirement Plans'}
4th row{'Transportation Benefits, Professional Development, Bonuses and Incentive Programs, Profit-Sharing, Employee Discounts'}
5th row{'Flexible Spending Accounts (FSAs), Relocation Assistance, Legal Assistance, Employee Recognition Programs, Financial Counseling'}

Common Values

ValueCountFrequency (%)
{'Childcare Assistance, Paid Time Off (PTO), Relocation Assistance, Flexible Work Arrangements, Professional Development'}161924
10.0%
{'Transportation Benefits, Professional Development, Bonuses and Incentive Programs, Profit-Sharing, Employee Discounts'}161819
10.0%
{'Tuition Reimbursement, Stock Options or Equity Grants, Parental Leave, Wellness Programs, Childcare Assistance'}161681
10.0%
{'Legal Assistance, Bonuses and Incentive Programs, Wellness Programs, Employee Discounts, Retirement Plans'}161577
10.0%
{'Casual Dress Code, Social and Recreational Activities, Employee Referral Programs, Health and Wellness Facilities, Life and Disability Insurance'}161543
10.0%
{'Employee Referral Programs, Financial Counseling, Health and Wellness Facilities, Casual Dress Code, Flexible Spending Accounts (FSAs)'}161536
10.0%
{'Employee Assistance Programs (EAP), Tuition Reimbursement, Profit-Sharing, Transportation Benefits, Parental Leave'}161476
10.0%
{'Flexible Spending Accounts (FSAs), Relocation Assistance, Legal Assistance, Employee Recognition Programs, Financial Counseling'}161292
10.0%
{'Life and Disability Insurance, Stock Options or Equity Grants, Employee Recognition Programs, Health Insurance, Social and Recreational Activities'}160995
10.0%
{'Health Insurance, Retirement Plans, Paid Time Off (PTO), Flexible Work Arrangements, Employee Assistance Programs (EAP)'}81206
5.0%

Length

2025-11-17T15:31:49.744720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
programs1696484
 
7.5%
and1372442
 
6.1%
assistance1293263
 
5.7%
employee1292335
 
5.7%
flexible646849
 
2.9%
wellness646337
 
2.9%
health646171
 
2.9%
insurance645630
 
2.9%
bonuses404287
 
1.8%
incentive404287
 
1.8%
Other values (43)13572460
60.0%

Most occurring characters

ValueCountFrequency (%)
21004605
 
10.2%
e19554845
 
9.5%
s14786099
 
7.2%
n14540562
 
7.0%
a13328404
 
6.4%
i13164261
 
6.4%
o10177639
 
4.9%
t10097146
 
4.9%
r9858304
 
4.8%
l9371392
 
4.5%
Other values (37)70855831
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)206739088
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
21004605
 
10.2%
e19554845
 
9.5%
s14786099
 
7.2%
n14540562
 
7.0%
a13328404
 
6.4%
i13164261
 
6.4%
o10177639
 
4.9%
t10097146
 
4.9%
r9858304
 
4.8%
l9371392
 
4.5%
Other values (37)70855831
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)206739088
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
21004605
 
10.2%
e19554845
 
9.5%
s14786099
 
7.2%
n14540562
 
7.0%
a13328404
 
6.4%
i13164261
 
6.4%
o10177639
 
4.9%
t10097146
 
4.9%
r9858304
 
4.8%
l9371392
 
4.5%
Other values (37)70855831
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)206739088
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
21004605
 
10.2%
e19554845
 
9.5%
s14786099
 
7.2%
n14540562
 
7.0%
a13328404
 
6.4%
i13164261
 
6.4%
o10177639
 
4.9%
t10097146
 
4.9%
r9858304
 
4.8%
l9371392
 
4.5%
Other values (37)70855831
34.3%

skills
Text

Distinct376
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
2025-11-17T15:31:50.232221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length300
Median length199
Mean length139.01286
Min length49

Characters and Unicode

Total characters224636436
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSocial media platforms (e.g., Facebook, Twitter, Instagram) Content creation and scheduling Social media analytics and insights Community engagement Paid social advertising
2nd rowHTML, CSS, JavaScript Frontend frameworks (e.g., React, Angular) User experience (UX)
3rd rowQuality control processes and methodologies Statistical process control (SPC) Root cause analysis and corrective action Quality management systems (e.g., ISO 9001) Compliance and regulatory knowledge
4th rowWireless network design and architecture Wi-Fi standards and protocols RF (Radio Frequency) planning and optimization Wireless security protocols Troubleshooting wireless network issues
5th rowEvent planning Conference logistics Budget management Vendor coordination Marketing and promotion Client relations
ValueCountFrequency (%)
and1596548
 
6.1%
management830578
 
3.2%
skills541182
 
2.1%
analysis534331
 
2.1%
design520023
 
2.0%
e.g512423
 
2.0%
communication468818
 
1.8%
data426799
 
1.6%
planning315617
 
1.2%
knowledge268387
 
1.0%
Other values (1042)19972343
76.9%
2025-11-17T15:31:50.876718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24371109
 
10.8%
e19893933
 
8.9%
n18774338
 
8.4%
i17310736
 
7.7%
a17259202
 
7.7%
t16037270
 
7.1%
o12917991
 
5.8%
s11905300
 
5.3%
r10648857
 
4.7%
l8989861
 
4.0%
Other values (54)66527839
29.6%

Most occurring categories

ValueCountFrequency (%)
(unknown)224636436
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
24371109
 
10.8%
e19893933
 
8.9%
n18774338
 
8.4%
i17310736
 
7.7%
a17259202
 
7.7%
t16037270
 
7.1%
o12917991
 
5.8%
s11905300
 
5.3%
r10648857
 
4.7%
l8989861
 
4.0%
Other values (54)66527839
29.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown)224636436
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
24371109
 
10.8%
e19893933
 
8.9%
n18774338
 
8.4%
i17310736
 
7.7%
a17259202
 
7.7%
t16037270
 
7.1%
o12917991
 
5.8%
s11905300
 
5.3%
r10648857
 
4.7%
l8989861
 
4.0%
Other values (54)66527839
29.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown)224636436
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
24371109
 
10.8%
e19893933
 
8.9%
n18774338
 
8.4%
i17310736
 
7.7%
a17259202
 
7.7%
t16037270
 
7.1%
o12917991
 
5.8%
s11905300
 
5.3%
r10648857
 
4.7%
l8989861
 
4.0%
Other values (54)66527839
29.6%
Distinct375
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
2025-11-17T15:31:51.174718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length249
Median length207
Mean length186.00245
Min length121

Characters and Unicode

Total characters300568796
Distinct characters59
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowManage and grow social media accounts, create engaging content, and interact with the online community. Develop social media content calendars and strategies. Monitor social media trends and engagement metrics.
2nd rowDesign and code user interfaces for websites, ensuring a seamless and visually appealing user experience. Collaborate with UX designers to optimize user journeys. Ensure cross-browser compatibility and responsive design.
3rd rowEstablish and enforce quality control standards and procedures. Conduct quality audits and inspections. Collaborate with production teams to address quality issues and implement improvements.
4th rowDesign, configure, and optimize wireless networks, ensuring reliable and secure wireless connectivity. Troubleshoot wireless network issues. Plan and implement wireless network upgrades.
5th rowSpecialize in conference and convention planning. Coordinate speaker sessions, exhibitors, and attendee experiences. Oversee event registration and marketing.
ValueCountFrequency (%)
and4903602
 
12.8%
with725974
 
1.9%
to708203
 
1.8%
for471771
 
1.2%
on427084
 
1.1%
collaborate392107
 
1.0%
provide358451
 
0.9%
develop350740
 
0.9%
data350257
 
0.9%
ensure347358
 
0.9%
Other values (1550)29338180
76.5%
2025-11-17T15:31:51.549719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36757787
12.2%
e29093464
 
9.7%
n23550043
 
7.8%
a23311755
 
7.8%
t20943289
 
7.0%
i20403952
 
6.8%
s19720235
 
6.6%
r16681797
 
5.6%
o16133650
 
5.4%
d12038821
 
4.0%
Other values (49)81934003
27.3%

Most occurring categories

ValueCountFrequency (%)
(unknown)300568796
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
36757787
12.2%
e29093464
 
9.7%
n23550043
 
7.8%
a23311755
 
7.8%
t20943289
 
7.0%
i20403952
 
6.8%
s19720235
 
6.6%
r16681797
 
5.6%
o16133650
 
5.4%
d12038821
 
4.0%
Other values (49)81934003
27.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown)300568796
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
36757787
12.2%
e29093464
 
9.7%
n23550043
 
7.8%
a23311755
 
7.8%
t20943289
 
7.0%
i20403952
 
6.8%
s19720235
 
6.6%
r16681797
 
5.6%
o16133650
 
5.4%
d12038821
 
4.0%
Other values (49)81934003
27.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown)300568796
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
36757787
12.2%
e29093464
 
9.7%
n23550043
 
7.8%
a23311755
 
7.8%
t20943289
 
7.0%
i20403952
 
6.8%
s19720235
 
6.6%
r16681797
 
5.6%
o16133650
 
5.4%
d12038821
 
4.0%
Other values (49)81934003
27.3%

Company
Text

Distinct888
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.3 MiB
2025-11-17T15:31:51.872722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length49
Median length38
Mean length15.683032
Min length2

Characters and Unicode

Total characters25342839
Distinct characters66
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIcahn Enterprises
2nd rowPNC Financial Services Group
3rd rowUnited Services Automobile Assn.
4th rowHess
5th rowCairn Energy
ValueCountFrequency (%)
group164001
 
4.6%
ag61711
 
1.7%
holdings54580
 
1.5%
limited54468
 
1.5%
49404
 
1.4%
financial47383
 
1.3%
energy47283
 
1.3%
corporation41841
 
1.2%
inc41696
 
1.2%
china36455
 
1.0%
Other values (1129)2997034
83.3%
2025-11-17T15:31:52.276718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e1993268
 
7.9%
1979916
 
7.8%
n1844727
 
7.3%
a1750925
 
6.9%
o1676650
 
6.6%
r1665384
 
6.6%
i1608848
 
6.3%
t1224077
 
4.8%
s1075407
 
4.2%
l1017316
 
4.0%
Other values (56)9506321
37.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)25342839
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e1993268
 
7.9%
1979916
 
7.8%
n1844727
 
7.3%
a1750925
 
6.9%
o1676650
 
6.6%
r1665384
 
6.6%
i1608848
 
6.3%
t1224077
 
4.8%
s1075407
 
4.2%
l1017316
 
4.0%
Other values (56)9506321
37.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)25342839
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e1993268
 
7.9%
1979916
 
7.8%
n1844727
 
7.3%
a1750925
 
6.9%
o1676650
 
6.6%
r1665384
 
6.6%
i1608848
 
6.3%
t1224077
 
4.8%
s1075407
 
4.2%
l1017316
 
4.0%
Other values (56)9506321
37.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)25342839
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e1993268
 
7.9%
1979916
 
7.8%
n1844727
 
7.3%
a1750925
 
6.9%
o1676650
 
6.6%
r1665384
 
6.6%
i1608848
 
6.3%
t1224077
 
4.8%
s1075407
 
4.2%
l1017316
 
4.0%
Other values (56)9506321
37.5%
Distinct884
Distinct (%)0.1%
Missing5478
Missing (%)0.3%
Memory size12.3 MiB
2025-11-17T15:31:52.484721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length232
Median length204
Mean length182.28834
Min length128

Characters and Unicode

Total characters293568443
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row{"Sector":"Diversified","Industry":"Diversified Financials","City":"Sunny Isles Beach","State":"Florida","Zip":"33160","Website":"www.ielp.com","Ticker":"IEP","CEO":"David Willetts"}
2nd row{"Sector":"Financial Services","Industry":"Commercial Banks","City":"Pittsburgh","State":"Pennsylvania","Zip":"15222","Website":"www.pnc.com","Ticker":"PNC","CEO":"William S. Demchak"}
3rd row{"Sector":"Insurance","Industry":"Insurance: Property and Casualty (Stock)","City":"San Antonio","State":"Texas","Zip":"78288","Website":"www.usaa.com","Ticker":"","CEO":"Wayne Peacock"}
4th row{"Sector":"Energy","Industry":"Mining, Crude-Oil Production","City":"New York","State":"New York","Zip":"10036","Website":"www.hess.com","Ticker":"HES","CEO":"John B. Hess"}
5th row{"Sector":"Energy","Industry":"Energy - Oil & Gas Exploration & Production","City":"Edinburgh","State":"Scotland","Zip":"EH2 4NH","Website":"https://www.cairnenergy.com/","Ticker":"CNE","CEO":"Simon Thomson"}
ValueCountFrequency (%)
and487376
 
6.2%
307420
 
3.9%
sector":"financial157815
 
2.0%
j77831
 
1.0%
york","state":"new71137
 
0.9%
gas58328
 
0.7%
sector":"insurance","industry":"insurance54736
 
0.7%
d51037
 
0.6%
m50857
 
0.6%
r49279
 
0.6%
Other values (2343)6518438
82.7%
2025-11-17T15:31:52.951719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
"51538472
17.6%
e18508289
 
6.3%
t16308499
 
5.6%
i15068465
 
5.1%
:13513660
 
4.6%
r11881172
 
4.0%
a11764383
 
4.0%
,11473420
 
3.9%
n10789387
 
3.7%
o9835809
 
3.4%
Other values (66)122886887
41.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)293568443
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
"51538472
17.6%
e18508289
 
6.3%
t16308499
 
5.6%
i15068465
 
5.1%
:13513660
 
4.6%
r11881172
 
4.0%
a11764383
 
4.0%
,11473420
 
3.9%
n10789387
 
3.7%
o9835809
 
3.4%
Other values (66)122886887
41.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)293568443
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
"51538472
17.6%
e18508289
 
6.3%
t16308499
 
5.6%
i15068465
 
5.1%
:13513660
 
4.6%
r11881172
 
4.0%
a11764383
 
4.0%
,11473420
 
3.9%
n10789387
 
3.7%
o9835809
 
3.4%
Other values (66)122886887
41.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)293568443
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
"51538472
17.6%
e18508289
 
6.3%
t16308499
 
5.6%
i15068465
 
5.1%
:13513660
 
4.6%
r11881172
 
4.0%
a11764383
 
4.0%
,11473420
 
3.9%
n10789387
 
3.7%
o9835809
 
3.4%
Other values (66)122886887
41.9%

Interactions

2025-11-17T15:31:26.283719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:21.501220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:23.080724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:24.475218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:26.666718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:21.952719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:23.421218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:24.832720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:27.052220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:22.366718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:23.771220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:25.386220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:27.436219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:22.721220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:24.115218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-17T15:31:25.833723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-11-17T15:31:53.015218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
BenefitsCompany SizeExperienceJob IdJob PortalPreferenceQualificationsWork Typelatitudelongitude
Benefits1.0000.0000.0000.0000.0000.0010.0000.0010.0010.000
Company Size0.0001.0000.000-0.0020.0000.0000.0000.0010.000-0.001
Experience0.0000.0001.0000.0000.0000.0000.0000.0010.0010.001
Job Id0.000-0.0020.0001.0000.0000.0000.0000.0010.0010.000
Job Portal0.0000.0000.0000.0001.0000.0000.0000.0000.0010.001
Preference0.0010.0000.0000.0000.0001.0000.0010.0000.0010.001
Qualifications0.0000.0000.0000.0000.0000.0011.0000.0000.0000.000
Work Type0.0010.0010.0010.0010.0000.0000.0001.0000.0000.001
latitude0.0010.0000.0010.0010.0010.0010.0000.0001.000-0.003
longitude0.000-0.0010.0010.0000.0010.0010.0000.001-0.0031.000

Missing values

2025-11-17T15:31:28.551719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-11-17T15:31:31.098220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Job IdExperienceQualificationsSalary RangelocationCountrylatitudelongitudeWork TypeCompany SizeJob Posting DatePreferenceContact PersonContactJob TitleRoleJob PortalJob DescriptionBenefitsskillsResponsibilitiesCompanyCompany Profile
010898435401115625 to 15 YearsM.Tech$59K-$99KDouglasIsle of Man54.2361-4.5481Intern268012022-04-24FemaleBrandon Cunningham001-381-930-7517x737Digital Marketing SpecialistSocial Media ManagerSnagajobSocial Media Managers oversee an organizations social media presence. They create and schedule content, engage with followers, and analyze social media metrics to drive brand awareness and engagement.{'Flexible Spending Accounts (FSAs), Relocation Assistance, Legal Assistance, Employee Recognition Programs, Financial Counseling'}Social media platforms (e.g., Facebook, Twitter, Instagram) Content creation and scheduling Social media analytics and insights Community engagement Paid social advertisingManage and grow social media accounts, create engaging content, and interact with the online community. Develop social media content calendars and strategies. Monitor social media trends and engagement metrics.Icahn Enterprises{"Sector":"Diversified","Industry":"Diversified Financials","City":"Sunny Isles Beach","State":"Florida","Zip":"33160","Website":"www.ielp.com","Ticker":"IEP","CEO":"David Willetts"}
13984540966427762 to 12 YearsBCA$56K-$116KAshgabatTurkmenistan38.969759.5563Intern1003402022-12-19FemaleFrancisco Larsen461-509-4216Web DeveloperFrontend Web DeveloperIdealistFrontend Web Developers design and implement user interfaces for websites, ensuring they are visually appealing and user-friendly. They collaborate with designers and backend developers to create seamless web experiences for users.{'Health Insurance, Retirement Plans, Paid Time Off (PTO), Flexible Work Arrangements, Employee Assistance Programs (EAP)'}HTML, CSS, JavaScript Frontend frameworks (e.g., React, Angular) User experience (UX)Design and code user interfaces for websites, ensuring a seamless and visually appealing user experience. Collaborate with UX designers to optimize user journeys. Ensure cross-browser compatibility and responsive design.PNC Financial Services Group{"Sector":"Financial Services","Industry":"Commercial Banks","City":"Pittsburgh","State":"Pennsylvania","Zip":"15222","Website":"www.pnc.com","Ticker":"PNC","CEO":"William S. Demchak"}
24816400729635330 to 12 YearsPhD$61K-$104KMacaoMacao SAR, China22.1987113.5439Temporary845252022-09-14MaleGary Gibson9687619505Operations ManagerQuality Control ManagerJobs2CareersQuality Control Managers establish and enforce quality standards within an organization. They develop quality control processes, perform inspections, and implement corrective actions to maintain product or service quality.{'Legal Assistance, Bonuses and Incentive Programs, Wellness Programs, Employee Discounts, Retirement Plans'}Quality control processes and methodologies Statistical process control (SPC) Root cause analysis and corrective action Quality management systems (e.g., ISO 9001) Compliance and regulatory knowledgeEstablish and enforce quality control standards and procedures. Conduct quality audits and inspections. Collaborate with production teams to address quality issues and implement improvements.United Services Automobile Assn.{"Sector":"Insurance","Industry":"Insurance: Property and Casualty (Stock)","City":"San Antonio","State":"Texas","Zip":"78288","Website":"www.usaa.com","Ticker":"","CEO":"Wayne Peacock"}
36881926714730444 to 11 YearsPhD$65K-$91KPorto-NovoBenin9.30772.3158Full-Time1298962023-02-25FemaleJoy Lucero+1-820-643-5431x47576Network EngineerWireless Network EngineerFlexJobsWireless Network Engineers design, implement, and maintain wireless network solutions. They optimize wireless connectivity, troubleshoot issues, and ensure reliable and secure wireless communications.{'Transportation Benefits, Professional Development, Bonuses and Incentive Programs, Profit-Sharing, Employee Discounts'}Wireless network design and architecture Wi-Fi standards and protocols RF (Radio Frequency) planning and optimization Wireless security protocols Troubleshooting wireless network issuesDesign, configure, and optimize wireless networks, ensuring reliable and secure wireless connectivity. Troubleshoot wireless network issues. Plan and implement wireless network upgrades.Hess{"Sector":"Energy","Industry":"Mining, Crude-Oil Production","City":"New York","State":"New York","Zip":"10036","Website":"www.hess.com","Ticker":"HES","CEO":"John B. Hess"}
41170578061565081 to 12 YearsMBA$64K-$87KSantiagoChile-35.6751-71.5429Intern539442022-10-11FemaleJulie Johnson343.975.4702x9340Event ManagerConference ManagerJobs2CareersA Conference Manager coordinates and manages conferences, meetings, and events. They plan logistics, handle budgeting, liaise with vendors, and ensure the smooth execution of events, catering to the needs and expectations of attendees.{'Flexible Spending Accounts (FSAs), Relocation Assistance, Legal Assistance, Employee Recognition Programs, Financial Counseling'}Event planning Conference logistics Budget management Vendor coordination Marketing and promotion Client relationsSpecialize in conference and convention planning. Coordinate speaker sessions, exhibitors, and attendee experiences. Oversee event registration and marketing.Cairn Energy{"Sector":"Energy","Industry":"Energy - Oil & Gas Exploration & Production","City":"Edinburgh","State":"Scotland","Zip":"EH2 4NH","Website":"https://www.cairnenergy.com/","Ticker":"CNE","CEO":"Simon Thomson"}
51168314202319574 to 12 YearsMCA$59K-$93KBrusselsBelgium50.50394.4699Full-Time231962023-07-25MaleMatthew Gill(973)791-5355x52199Software TesterQuality Assurance AnalystSnagajobA Quality Assurance Analyst tests software and products to ensure they meet quality standards. They identify defects, report issues, and work with development teams to resolve problems.{'Life and Disability Insurance, Stock Options or Equity Grants, Employee Recognition Programs, Health Insurance, Social and Recreational Activities'}Quality assurance processes Testing methodologies (e.g., manual, automated) Bug tracking and reporting Test case development Regression testingTest software applications and systems to identify defects and ensure quality. Create test plans, test cases, and test scripts. Collaborate with development teams to resolve issues.Adani Ports and Special Economic Zone{"Sector":"Infrastructure","Industry":"Ports and Infrastructure","City":"Mundra","State":"Gujarat","Zip":"370421","Website":"https://www.adaniports.com/","Ticker":"ADANIPORTS","CEO":"Karan Adani"}
612921682467298893 to 15 YearsPhD$63K-$103KGeorge TownCayman Islands19.3133-81.2546Temporary261192023-04-10BothZachary Hansen001-268-510-4362x789TeacherClassroom TeacherFlexJobsA Classroom Teacher educates students in a specific subject or grade level. They create lesson plans, deliver instruction, assess student progress, and foster a positive learning environment.{'Flexible Spending Accounts (FSAs), Relocation Assistance, Legal Assistance, Employee Recognition Programs, Financial Counseling'}Teaching pedagogy Classroom management Curriculum development Student assessment Differentiated instructionPlan and deliver engaging lessons, adapting teaching methods to student needs. Assess student progress and provide feedback. Create a positive and inclusive classroom environment.FedEx{"Sector":"Logistics","Industry":"Mail, Package and Freight Delivery","City":"Memphis","State":"Tennessee","Zip":"38120","Website":"www.fedex.com","Ticker":"FDX","CEO":"Raj Subramaniam"}
714987786861971072 to 8 YearsM.Com$65K-$102KSão ToméSao Tome and Principe0.18646.6131Contract405582022-09-20FemaleChad Strickland667.202.6824x15893UX/UI DesignerUser Interface DesignerIndeedUser Interface Designers focus on the visual and interactive aspects of digital interfaces. They design layouts, buttons, and other elements to ensure a cohesive and visually appealing user interface.{'Employee Assistance Programs (EAP), Tuition Reimbursement, Profit-Sharing, Transportation Benefits, Parental Leave'}UI design principles and best practices Graphic design tools (e.g., Adobe Photoshop, Illustrator) Typography and color theory Visual design and layout Responsive designCreate visually appealing user interfaces (UI) that align with brand aesthetics and enhance user engagement. Design interface elements and interactive components. Ensure UI consistency across digital platforms.Ryder System{"Sector":"Transportation","Industry":"Transportation and Logistics","City":"Miami","State":"Florida","Zip":"33178","Website":"www.ryder.com","Ticker":"R","CEO":"Robert E. Sanchez"}
816802939409957402 to 9 YearsBBA$65K-$102KMaleMaldives3.202873.2207Temporary1053432022-02-19FemaleDavid Hanson+1-337-946-9956x550UX/UI DesignerInteraction DesignerIndeedInteraction Designers specialize in designing user interactions within digital interfaces. They create meaningful and engaging user experiences by considering user behaviors and system responses.{'Transportation Benefits, Professional Development, Bonuses and Incentive Programs, Profit-Sharing, Employee Discounts'}Interaction design principles User behavior and psychology Wireframing and prototyping tools Animation and micro-interaction design Collaborative design processesWork on interaction design, defining how users interact with digital products and ensuring a seamless user journey. Create wireframes and prototypes to illustrate interactions. Collaborate with developers to implement interaction designs.Zee Entertainment Enterprises{"Sector":"Media & Entertainment","Industry":"Media and Entertainment","City":"Mumbai","State":"Maharashtra","Zip":"400064","Website":"https://www.zeeentertainment.com/","Ticker":"ZEEL","CEO":"Punit Goenka"}
92556278125881021 to 10 YearsBBA$60K-$80KSaint John'sAntigua and Barbuda17.0608-61.7964Full-Time1020692022-05-13BothJohn Nguyen001-318-990-0531x978Wedding PlannerWedding ConsultantStack Overflow JobsA Wedding Consultant assists couples in planning and coordinating their weddings, helping them with vendor selection, budget management, and ensuring a seamless wedding day experience.{'Legal Assistance, Bonuses and Incentive Programs, Wellness Programs, Employee Discounts, Retirement Plans'}Wedding planning Vendor coordination Event managementOffer expert advice and guidance to couples planning their weddings. Assist with wedding theme and design selection. Coordinate and negotiate with vendors.CSX{"Sector":"Transportation","Industry":"Railroads","City":"Jacksonville","State":"Florida","Zip":"32202","Website":"www.csx.com","Ticker":"CSX","CEO":"Joseph R. Hinrichs"}
Job IdExperienceQualificationsSalary RangelocationCountrylatitudelongitudeWork TypeCompany SizeJob Posting DatePreferenceContact PersonContactJob TitleRoleJob PortalJob DescriptionBenefitsskillsResponsibilitiesCompanyCompany Profile
16159306909483682508541 to 14 YearsBCA$65K-$125KMadridSpain40.4637-3.7492Intern1318472022-07-10BothCrystal Fox+1-850-259-9181Environmental ConsultantSustainability ConsultantInternships.comSustainability Consultants advise organizations on sustainable practices and strategies. They assess environmental impact, recommend sustainability initiatives, and assist in the development and implementation of sustainable policies.{'Employee Assistance Programs (EAP), Tuition Reimbursement, Profit-Sharing, Transportation Benefits, Parental Leave'}Sustainability consulting Sustainability assessments Sustainable practices Green building standards Environmental policies Client communicationFocus on sustainable practices and initiatives, advising clients on reducing their environmental footprint. Develop sustainability plans and strategies. Conduct sustainability audits and reporting.J.M. Smucker{"Sector":"Food & Beverage","Industry":"Food Consumer Products","City":"Orrville","State":"Ohio","Zip":"44667","Website":"www.jmsmucker.com","Ticker":"SJM","CEO":"Mark T. Smucker"}
161593124208892073464822 to 8 YearsBBA$62K-$101KMogadishuSomalia5.152146.1996Temporary914462021-11-18FemaleKrista Johnson(219)869-6331Technical WriterContent WriterStack Overflow JobsContent Writers create written content for various platforms. They produce articles, blog posts, and web content to inform, educate, or entertain audiences.{'Childcare Assistance, Paid Time Off (PTO), Relocation Assistance, Flexible Work Arrangements, Professional Development'}Writing skills Content creation SEO knowledge Research skills Grammar and proofreadingWrite informative and engaging content for websites, blogs, and marketing materials. Conduct research and interviews to gather information. Tailor content to target audiences.Westpac Banking Corporation{"Sector":"Banking","Industry":"Banking/Financial Services","City":"Sydney","State":"NSW","Zip":"2000","Website":"https://www.westpac.com.au/","Ticker":"WBC","CEO":"Peter King"}
161593211629382054212734 to 14 YearsB.Com$64K-$130KSan MarinoSan Marino43.942412.4578Full-Time715832023-03-13MaleMichael Campbell(642)232-4227x6784UI DeveloperUX/UI DesignerStack Overflow JobsA UX/UI Designer focuses on enhancing user experiences by designing intuitive interfaces. They consider user needs and preferences to create visually appealing and functional designs.{'Casual Dress Code, Social and Recreational Activities, Employee Referral Programs, Health and Wellness Facilities, Life and Disability Insurance'}User experience (UX) design User interface (UI) design Wireframing and prototyping Usability testing Design tools like Sketch or FigmaDesign user interfaces and experiences, focusing on usability and user-centered design principles. Create wireframes and prototypes. Conduct user testing and gather feedback for design improvements.Drax Group{"Sector":"Energy","Industry":"Energy - Utilities","City":"Selby","State":"England","Zip":"YO8 8PH","Website":"https://www.drax.com/","Ticker":"DRX","CEO":"Will Gardiner"}
16159337406418853047473 to 12 YearsBCA$60K-$122KKabulAfghanistan33.939167.7100Contract1289382022-02-09FemaleMelanie Martinez+1-624-783-2068Process EngineerChemical EngineerJobs2CareersChemical Engineers design and oversee processes for the production of chemicals and related products. They conduct experiments, analyze data, and develop processes to optimize production, ensure safety, and minimize environmental impact.{'Legal Assistance, Bonuses and Incentive Programs, Wellness Programs, Employee Discounts, Retirement Plans'}Chemical engineering Process design Chemical reactions Safety protocols Laboratory techniques Problem-solving skillsSpecialize in chemical processes, including design and optimization. Monitor chemical reactions and processes. Ensure compliance with environmental regulations.St. James's Place plc{"Sector":"Financial Services","Industry":"Financial Services - Investment","City":"Cirencester","State":"N/A","Zip":"N/A","Website":"www.sjp.co.uk","Ticker":"STJ.L","CEO":"Andrew Croft"}
16159343714301551100523 to 13 YearsMBA$58K-$126KNew DelhiIndia20.593778.9629Full-Time1233922023-04-11FemaleAmy Cruz001-294-239-7670Social WorkerChild Welfare WorkerSimplyHiredWork with at-risk children and families, assess needs, provide support, and ensure child safety and well-being.{'Transportation Benefits, Professional Development, Bonuses and Incentive Programs, Profit-Sharing, Employee Discounts'}Child welfare policies and regulations Child protective services Child development Crisis intervention Case management Cultural competence Interviewing and assessment skills Court procedures Documentation Empathy Communication skillsProvide support and counseling to children and families in need. Assess child safety and risk factors. Develop and implement care plans and interventions.Icahn Enterprises{"Sector":"Diversified","Industry":"Diversified Financials","City":"Sunny Isles Beach","State":"Florida","Zip":"33160","Website":"www.ielp.com","Ticker":"IEP","CEO":"David Willetts"}
16159351345635770888500 to 12 YearsB.Tech$64K-$114KMalabo (de jure),Equatorial Guinea1.650810.2679Full-Time182812022-05-19BothShawn Cortez950-451-5843Mechanical EngineerMechanical Design EngineerZipRecruiterMechanical Design Engineers create and develop mechanical systems and components, from concept to manufacturing, ensuring functionality and safety.{'Employee Assistance Programs (EAP), Tuition Reimbursement, Profit-Sharing, Transportation Benefits, Parental Leave'}Mechanical engineering CAD software (e.g., SolidWorks, AutoCAD) Finite element analysis Product development PrototypingDesign mechanical systems, components, and products. Create 3D models and detailed engineering drawings. Perform structural and thermal analyses.The Hershey Company{"Sector":"Food and Beverage/Confectionery","Industry":"Food Manufacturing","City":"Hershey","State":"PA","Zip":"17033","Website":"https://www.thehersheycompany.com/","Ticker":"HSY","CEO":"Michele Buck"}
16159366186048181908272 to 14 YearsM.Tech$62K-$130KWarsawPoland51.919419.1451Intern636212023-03-14MaleSteven Diaz676.387.1572x71877IT ManagerIT DirectorUSAJOBSAn IT Director oversees an organizations IT department and technology infrastructure. They develop IT strategies, manage budgets, and ensure IT systems support business objectives.{'Health Insurance, Retirement Plans, Paid Time Off (PTO), Flexible Work Arrangements, Employee Assistance Programs (EAP)'}Strategic IT planning Leadership and management Budgeting and financial management IT governance and compliance Vendor management Cybersecurity and risk management Project management Cloud computing Network infrastructure Enterprise software systemsProvide strategic leadership for IT departments, setting goals and priorities. Oversee IT budgets and resource allocation. Align IT initiatives with overall business objectives.EQT{"Sector":"Energy","Industry":"Energy","City":"Pittsburgh","State":"Pennsylvania","Zip":"15222","Website":"www.eqt.com","Ticker":"EQT","CEO":"Toby Z. Rice"}
16159376154713677122004 to 15 YearsBCA$60K-$96KAshgabatTurkmenistan38.969759.5563Part-Time1142872022-01-23FemaleBryan Morales537.384.6193x5284Mechanical EngineerMechanical Design EngineerIndeedMechanical Design Engineers create and develop mechanical systems and components, from concept to manufacturing, ensuring functionality and safety.{'Tuition Reimbursement, Stock Options or Equity Grants, Parental Leave, Wellness Programs, Childcare Assistance'}Mechanical engineering CAD software (e.g., SolidWorks, AutoCAD) Finite element analysis Product development PrototypingDesign mechanical systems, components, and products. Create 3D models and detailed engineering drawings. Perform structural and thermal analyses.KLA{"Sector":"Technology","Industry":"Semiconductors and Other Electronic Components","City":"Milpitas","State":"California","Zip":"95035","Website":"www.kla.com","Ticker":"KLAC","CEO":"Rick Wallace"}
16159388041373420239455 to 15 YearsBCA$65K-$103KOuagadougouBurkina Faso12.2383-1.5616Full-Time450092021-12-28FemaleSteven Dunn(484)257-4755x5346HR CoordinatorTraining CoordinatorStack Overflow JobsTraining Coordinators design and implement employee training programs. They assess training needs, develop training materials, and facilitate training sessions to enhance employees skills and knowledge.{'Casual Dress Code, Social and Recreational Activities, Employee Referral Programs, Health and Wellness Facilities, Life and Disability Insurance'}Training program coordination Training material development Learning management systemsCoordinate employee training programs, track training records, and assist with training logistics. Identify training needs and develop training materials. Facilitate training sessions or workshops.Mahindra & Mahindra{"Sector":"Automotive","Industry":"Automotive","City":"Mumbai","State":"Maharashtra","Zip":"400018","Website":"www.mahindra.com","Ticker":"M&M","CEO":"Anish Shah"}
16159394046457553144841 to 11 YearsBBA$56K-$109KAsmaraEritrea15.179439.7823Part-Time876372022-10-01MaleJennifer Moore(989)703-9723Event PlannerWedding PlannerUSAJOBSWedding Planners specialize in organizing weddings, assisting couples with every aspect of wedding planning, from venue selection to catering and decor.{'Transportation Benefits, Professional Development, Bonuses and Incentive Programs, Profit-Sharing, Employee Discounts'}Wedding planning Venue selection Catering and menu planning Floral and decor design Wedding etiquetteSpecialize in wedding planning, assisting couples in creating their dream weddings. Select and manage vendors, plan ceremonies, and handle wedding day coordination. Provide creative and budget-conscious solutions.Ashtead Group{"Sector":"Equipment Rental","Industry":"Equipment Rental","City":"London","State":"N/A","Zip":"N/A","Website":"www.ashtead-group.com","Ticker":"AHT.L","CEO":"Brendan Horgan"}